Two-sample Bayesian Nonparametric Hypothesis Testing
نویسندگان
چکیده
منابع مشابه
Objective Bayesian Two Sample Hypothesis Testing for Online Controlled Experiments
As A/B testing gains wider adoption in the industry, more people begin to realize the limitations of the traditional frequentist null hypothesis statistical testing (NHST). The large number of search results for the query “Bayesian A/B testing” shows just how much the interest in the Bayesian perspective is growing. In recent years there are also voices arguing that Bayesian A/B testing should ...
متن کاملNonparametric Bayesian Multiple Hypothesis Testing of Autoregressive Time Series
This paper describes a framework for flexible multiple hypothesis testing of autoregressive time series. The modeling approach is Bayesian, thought a blend of frequentist and Bayesian reasoning is used to evaluate procedures. Nonparametric characterizations of both the null and alternative hypotheses will be shown to be the key robustification step necessary to ensure reasonable Type-I error pe...
متن کاملTwo Sample Hypothesis Testing for Functional Data
A nonparametric testing procedure is proposed for testing the hypothesis that two samples of curves observed at discrete grids and with noise have the same underlying distribution. Our method relies on representing the curves using a common orthogonal basis expansion. The approach reduces the dimension of the testing problem in a way that enables the application of traditional nonparametric uni...
متن کاملBayesian Fuzzy Hypothesis Testing with Imprecise Prior Distribution
This paper considers the testing of fuzzy hypotheses on the basis of a Bayesian approach. For this, using a notion of prior distribution with interval or fuzzy-valued parameters, we extend a concept of posterior probability of a fuzzy hypothesis. Some of its properties are also put into investigation. The feasibility and effectiveness of the proposed methods are also cla...
متن کاملBayesian nonparametric multiple testing
Multiple testing, or multiplicity problems often require testing several means with the assumption that we will reject infrequently, as motivated by the need to analyze DNA microarray data. The goal is to keep the combined rate of false discoveries and non-discoveries as small as possible. We propose a discrete approximation to a Polya tree prior that enjoys fast, conjugate updating, centered a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bayesian Analysis
سال: 2015
ISSN: 1936-0975
DOI: 10.1214/14-ba914